Improved Moving Cast Shadow Detection Algorithm Based on Texture and Color Feature
WU Jiangb · Video Engineering · 2014
It is one of the core goals to accurately eliminate the effect of shadow on video moving target in an intelligent video monitoring. Aimed at the problem of the current moving cast shadow detection using texture information is excessively rough and requires manual intervention to selection the threshold,an adaptive elimination algorithm based on NCC( Normalized Cross-correlation) merging intensity and normalized color is proposed in this paper. Based on the foreground pixels which is obtained with the Gaussian mixture model,the brief steps to reach the goal are as follows: the candidate shadow region is selected through the feature of shadow on intensity and normalized color,then the shadow region is narrowed with the improved algorithm above and finally the real shadow is obtained by spatial analysis. The results show that the algorithm can effectively reduce the noise and then better distinguish the moving objects and shadows which possess of unconspicuous local texture.